Application of methodology for the visual transformation of the strength of recommendation and the certainty of evidence to GRADE in guideline adoption, adaptation and adolopment projects

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F22%3A00126836" target="_blank" >RIV/00216224:14110/22:00126836 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Application of methodology for the visual transformation of the strength of recommendation and the certainty of evidence to GRADE in guideline adoption, adaptation and adolopment projects

Popis výsledku v původním jazyce

Background Guideline developers worldwide have been using a range of systems to rate the strength of recommendation (SoR) and certainty of evidence (CoE). The Grading of Recommendations Assessment, Development and Evaluation (GRADE) system has been increasingly adapted by many organizations; however, even when using GRADE, authors of guidelines have so far been left relatively free to choose from a few options for depicting the CoE and SoR and the visual form of presenting recommendations that best suit their needs. Objective Our aim is to demonstrate the application of an approach to visual unification of adopted, adapted or adoloped guidelines and the transformation of classifications of CoE and SoR into the approach suggested by the GRADE working group. Methods We applied the methodology of visual transformation1 to all developed guidelines in the Czech National Guideline Project (CNGP). Results Currently, on the CNPG portal are published 22 guidelines developed by several methodological approaches: adoption; adaptation; adolopment; and de novo, and their executive summaries, which all use the visual transformation methodology. Discussion We applied in CNPG an approach for transforming recommendations that use various classification systems for CoE and SoR into GRADE and a consistent visual style. We also used this approach retrospectively to unify the presentation of recommendations in all our guidelines, thus improving the clarity and understandability of guidelines to their Czech consumers.

Název v anglickém jazyce

Application of methodology for the visual transformation of the strength of recommendation and the certainty of evidence to GRADE in guideline adoption, adaptation and adolopment projects

Popis výsledku anglicky

Background Guideline developers worldwide have been using a range of systems to rate the strength of recommendation (SoR) and certainty of evidence (CoE). The Grading of Recommendations Assessment, Development and Evaluation (GRADE) system has been increasingly adapted by many organizations; however, even when using GRADE, authors of guidelines have so far been left relatively free to choose from a few options for depicting the CoE and SoR and the visual form of presenting recommendations that best suit their needs. Objective Our aim is to demonstrate the application of an approach to visual unification of adopted, adapted or adoloped guidelines and the transformation of classifications of CoE and SoR into the approach suggested by the GRADE working group. Methods We applied the methodology of visual transformation1 to all developed guidelines in the Czech National Guideline Project (CNGP). Results Currently, on the CNPG portal are published 22 guidelines developed by several methodological approaches: adoption; adaptation; adolopment; and de novo, and their executive summaries, which all use the visual transformation methodology. Discussion We applied in CNPG an approach for transforming recommendations that use various classification systems for CoE and SoR into GRADE and a consistent visual style. We also used this approach retrospectively to unify the presentation of recommendations in all our guidelines, thus improving the clarity and understandability of guidelines to their Czech consumers.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

30230 - Other clinical medicine subjects

Projekt

<a href="/cs/project/LTC20031" target="_blank" >LTC20031: Towards an International Network for Evidence-based Research in Clinical Health Research in the Czech Republic</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů